Data & Analytics Engineer
Description For Data & Analytics Engineer
BigID is seeking a Data & Analytics Engineer passionate about data engineering, automation, and business intelligence. This role supports business decision-making through developing scalable data pipelines, creating data visualizations, and implementing reporting infrastructure using Snowflake, Tableau, and Python. The ideal candidate is self-driven, enjoys solving complex problems, and thrives in a fast-paced, dynamic environment.
Responsibilities include:
- Maintaining data flows and pipelines using Python-powered notebooks in Databricks on AWS
- Building and maintaining data in Snowflake with Tableau visualizations
- Developing Snowflake notebooks using Python, APIs, and SQL for ETL pipelines
- Translating business requirements into specifications for data marts, reports, and dashboards
- Managing JIRA tickets and focusing on automation and simplification of reporting processes
Requirements:
- Bachelor's degree in a relevant field or equivalent experience
- 3-5 years of experience in business intelligence, analytics, or related fields
- Proficiency in SQL, Snowflake, Tableau, and AWS S3
- Experience with G-Suite, Salesforce.com, and other GTM tools
- Strong analytical and problem-solving skills
BigID offers a competitive salary range of $115,000 – $140,000, along with variable compensation, equity incentives, and comprehensive benefits including flexible PTO, 100% employer-covered medical insurance, and a 401K plan.
Join a company recognized for innovation in AI and cybersecurity, offering a remote-first global community and a culture focused on care, action, perseverance, and excellence.
Responsibilities For Data & Analytics Engineer
- Maintain data flows and pipelines leveraging Python-powered notebooks in Databricks, hosted on AWS
- Source, build, and maintain data stored in Snowflake and overlaying visualizations using Tableau
- Develop Snowflake notebooks leveraging Python, knowledge of APIs, and SQL to build ETL pipelines and database tables/views
- Translate business requirements into specifications for data marts, reports, and dashboards
- Assess stakeholder needs, develop strategic roadmap, and update regularly
- Manage, maintain, and organize JIRA tickets
- Gather and work with disparate data sources to produce insightful analyses and visuals
- Review analysis and visuals, provide insights and recommendations to decision-makers
- Focus on automation and simplification of reporting and BI processes
Requirements For Data & Analytics Engineer
- Bachelor's degree in finance, engineering, economics, statistics, applied mathematics, data science or equivalent experience
- 3-5 years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science, or related field
- Experience writing SQL queries, procedures, and database operations in Snowflake
- Knowledge of Tableau dashboard creation and Tableau Online administration
- Administration of Snowflake and operational knowledge of AWS S3
- G-Suite experience preferred
- Experience with Salesforce.com data model, reports, and dashboard creation strongly preferred
- Strong analytical and problem-solving skills
- Ability to function and prioritize well in a high-paced, remote environment
Benefits For Data & Analytics Engineer
- Work from home with a global remote-first community
- Flexible PTO and Quarterly Volunteer Days
- Equity Participation
- 100% employer-covered medical, dental, and vision options
- Additional insurance benefits like pet insurance and legal assistance
- Learning & Development Opportunities
- Fidelity Employer Sponsored 401K
- Robust DEI Program with several vibrant ERG communities
- Paid Parental Leave
